scholarly journals Multi-Omics Characterization of the Spontaneous Mesenchymal–Epithelial Transition in the PMC42 Breast Cancer Cell Lines

2019 ◽  
Vol 8 (8) ◽  
pp. 1253 ◽  
Author(s):  
Sugandha Bhatia ◽  
James Monkman ◽  
Tony Blick ◽  
Pascal HG Duijf ◽  
Shivashankar H. Nagaraj ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Phenotypic Plasticity ◽  
Cell Line ◽  
Cell Lines ◽  
Daughter Cell ◽  
Cancer Metastasis ◽  
Expression Profiles ◽  
Breast Cancer Cell Lines ◽  
Mesenchymal Transition ◽  
Mesenchymal Epithelial Transition

Epithelial–mesenchymal plasticity (EMP), encompassing epithelial–mesenchymal transition (EMT) and mesenchymal–epithelial transition (MET), are considered critical events for cancer metastasis. We investigated chromosomal heterogeneity and chromosomal instability (CIN) profiles of two sister PMC42 breast cancer (BC) cell lines to assess the relationship between their karyotypes and EMP phenotypic plasticity. Karyotyping by GTG banding and exome sequencing were aligned with SWATH quantitative proteomics and existing RNA-sequencing data from the two PMC42 cell lines; the mesenchymal, parental PMC42-ET cell line and the spontaneously epithelially shifted PMC42-LA daughter cell line. These morphologically distinct PMC42 cell lines were also compared with five other BC cell lines (MDA-MB-231, SUM-159, T47D, MCF-7 and MDA-MB-468) for their expression of EMP and cell surface markers, and stemness and metabolic profiles. The findings suggest that the epithelially shifted cell line has a significantly altered ploidy of chromosomes 3 and 13, which is reflected in their transcriptomic and proteomic expression profiles. Loss of the TGFβR2 gene from chromosome 3 in the epithelial daughter cell line inhibits its EMT induction by TGF-β stimulus. Thus, integrative ‘omics’ characterization established that the PMC42 system is a relevant MET model and provides insights into the regulation of phenotypic plasticity in breast cancer.

scholarly journals The evaluation of Melatonin and EGF interaction on breast cancer metastasis

2021 ◽  
Author(s):  
Maryam Akbarzadeh
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Metastasis ◽  
Migration And Invasion ◽  
Breast Cancer Cell Lines ◽  
Breast Cancer Patients ◽  
Mcf7 Cells ◽  
And Migration

Abstract Background Breast cancer is currently one of the most common types of cancer in women, and metastasis is the first cause of death in breast cancer patients. The epidermal growth factor (EGF) increases the invasion, growth, and migration of cancer cells. In the present study, melatonin, as a natural hormone, in EGF-induced tumor metastasis, was investigated. Methods First, MDA-MB-231 and MCF7 cells were cultured, and then the effects of melatonin on cell viability were determined by MTT assay. Transwell invasion assay was employed to identify the invasiveness of these breast cancer cell lines. Real-time RT-PCR then investigated the expression of MMP9 and MMP2. Cell proliferation was also determined under EGF and melatonin treatment using Ki67 assessment by flow cytometry. Results The rate of invasion and migration of EGF-treated cells increased in both groups, in which melatonin caused increased invasion by EGF in MCF7 cells. MMP9 and MMP2 expression increased significantly in both cell lines under EGF treatment, and melatonin increased these genes' expression in both cell lines (p <0.05). EGF increased the MMP9 and MMP2 gene expression, and melatonin increases EGF-induced expression(p <0.05). The EGF reduced the expression of the Ki67 protein in the MCF7 cell line, which was negatively affected by Melatonin and EGF. In contrast, along with Melatonin, EGF did not affect the proliferation of the MDA-MB-231 cell line. Conclusions Our results show that melatonin, as a natural compound, can increase the effects of EGF in the proliferation, migration, and invasion of cancer cells at low dosages.

scholarly journals Integrated Transcriptomics, Proteomics, and Glycomics Reveals the Association between Up-regulation of Sialylated N-glycans/Integrin and Breast Cancer Brain Metastasis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Wenjing Peng ◽  
Rui zhu ◽  
Shiyue Zhou ◽  
Parvin Mirzaei ◽  
Yehia Mechref
Keyword(s):  
Breast Cancer ◽  
Brain Metastasis ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Metastasis ◽  
Cancer Cell Line ◽  
Breast Cancer Metastasis ◽  
Breast Cancer Cell Lines ◽  
Breast Cancer Brain Metastasis

AbstractBreast cancer brain metastasis has been recognized as one of the central issues in breast cancer research. The elucidation of the processes and pathways that mediate this step will provide important clues for a better understanding of breast cancer metastasis. Increasing evidence suggests that aberrant glycosylation patterns greatly contribute to cell invasion and cancer metastasis. Herein, we combined next-generation RNA sequencing with liquid chromatography-tandem mass spectrometry-based proteomic and N-glycomic analysis from five breast cancer cell lines and one brain cancer cell line to investigate the possible mechanisms of breast cancer brain metastasis. The genes/proteins associated with cell movement were highlighted in breast cancer brain metastasis. The integrin signaling pathway and the up-regulation of α-integrin (ITGA2, ITGA3) were associated with the brain metastatic process. 12 glycogenes showed unique expression in 231BR, which could result in an increase of sialylation during brain metastasis. In agreement with the changes of glycogenes, 60 out of 63 N-glycans that were identified exhibited differential expression among cell lines. The correlation between glycogenes and glycans revealed the importance of sialylation and sialylated glycans in breast cancer brain metastasis. Highly sialylated N-glycans, which were up-regulated in brain-seeking cell line 231BR, likely play a role in brain metastasis.

scholarly journals Molecular phenotyping of breast cancer cell lines at the single-cell level for automated cancer diagnosis and prediction of drug sensitivity

2021 ◽  
Author(s):  
G Gambardella ◽  
G Viscido ◽  
B Tumaini ◽  
A Isacchi ◽  
R Bosotti ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Cell Line ◽  
Cell Lines ◽  
Anticancer Agents ◽  
Drug Sensitivity ◽  
Expression Profiles ◽  
Breast Cancer Cell Lines ◽  
Isogenic Cell Line

ABSTRACTBrest Cancer (BC) patient stratification is mainly driven by receptor status and histological grading and subtyping, with about twenty percent of patients for which absence of any actionable biomarkers results in no clear therapeutic intervention to apply. Here, we evaluated the potentiality of single-cell transcriptomics for automated diagnosis and drug treatment of breast cancer. We transcriptionally profiled 35,276 individual cells from 32 BC cell-lines covering all main BC subtypes to yield a Breast Cancer Single Cell Atlas. We show that single cell transcriptomics can successfully detect clinically relevant BC biomarkers and that atlas can be used to automatically predict cancer subtype and composition from a patient’s tumour biopsy. We found that BC cell lines arbour a high degree of heterogeneity in the expression of clinically relevant BC biomarkers and that such heterogeneity enables cells with differential drug sensitivity to co-exist even within a genomically stable isogenic cell line. Finally, we developed a novel bioinformatics approach named DREEP (DRug Estimation from Expression Profiles) to automatically predict responses to more than 450 anticancer agents starting from single-cell transcriptional profiles. We validated DREEP both in-silico and in-vitro by selectively inhibiting the growth of the HER2-deficient subpopulation in the MDAMB361 cell line. Our work shows transcriptional heterogeneity is common, dynamic and plays a relevant role in determining drug sensitivity. Moreover, our Breast Cancer Single Cell Atlas and DREEP approach are a unique resource for the BC research community and to advance the use of single-cell sequencing in the clinics.

ANTITUMOR EFFECT OF SUNITINIB AND BORTEZOMIB ON BREAST CANCER CELL LINE IN VITRO

2017 ◽  
Vol 63 (1) ◽  
pp. 141-145
Author(s):  
Yuliya Khochenkova ◽  
Eliso Solomko ◽  
Oksana Ryabaya ◽  
Yevgeniya Stepanova ◽  
Dmitriy Khochenkov
Keyword(s):  
Breast Cancer ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Antitumor Effect ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Actual Problem

The discovery for effective combinations of anticancer drugs for treatment for breast cancer is the actual problem in the experimental chemotherapy. In this paper we conducted a study of antitumor effect of the combination of sunitinib and bortezomib against MDA-MB-231 and SKBR-3 breast cancer cell lines in vitro. We found that bortezomib in non-toxic concentrations can potentiate the antitumor activity of sunitinib. MDA-MB-231 cell line has showed great sensitivity to the combination of bortezomib and sunitinib in vitro. Bortezomib and sunitinib caused reduced expression of receptor tyrosine kinases VEGFR1, VEGFR2, PDGFRa, PDGFRß and c-Kit on HER2- and HER2+ breast cancer cell lines

scholarly journals Coexpression of CAV-1, AT1-R and FOXM1 in prostate and breast cancer and normal cell lines and their influence on metastatic properties

2016 ◽  
Vol 63 (3) ◽  
Author(s):  
Karolina Kowalska ◽  
Magdalena Nowakowska ◽  
Kamila Domińska ◽  
Agnieszka W. Piastowska-Ciesielska
Keyword(s):  
Breast Cancer ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Normal Cell ◽  
Metastatic Potential ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Prostate Cell

The aim of this study was to evaluate the coexpression of caveolin-1 (CAV-1), angiotensin II type 1 receptor (AT1-R) and forkhead box Ml (FOXM1) in prostate and breast cancer cell lines, in comparison with normal cell lines. CAV-1, AT1-R and FOXM1 expression was determined by reverse transcription-quantitative polymerase chain reaction and western blot analysis in the prostate cancer cell lines PC3, DU145 and LNCaP; prostate normal cell line PNT1A; breast cancer cell lines MCF-7 and MDA-MB-231; and the normal breast cell line 184A1. A correlation between the expression levels of the investigated genes and their metastatic properties was determined by the Spearman's rank test (P<0.05) and Aspin-Welsch t-test, respectively. In prostate cell lines, a significant correlation was noted between CAV-1 and AT1-R expression and between FOXM1 and CAV-1 expression. A correlation between the expression levels of the investigated genes and their metastatic potential was also observed, with relatively high expression of all the investigated genes in the normal prostate cell line PNT1A. In comparison to prostate cancer cell lines, an adverse dependency between CAV-1, AT1-R, FOXM1 expression and metastatic potential was observed in the breast cancer cell lines. Relatively high expression of all tested genes was observed in the normal breast cell line 184A1, which was decreasing respectively with increasing metastatic potential of breast cancer cell lines. The results obtained here indicate that CAV-1, FOXM1 and AT1-R may be potential markers of tumorigenesis in certain types of cancer in vitro.

scholarly journals Integrative analysis of mRNA and miRNA profiles identifies miR-193 and miR-210 as potential regulatory biomarkers in different molecular subtypes of breast cancer

2020 ◽  
Author(s):  
Adriane Feijo Evangelista ◽  
Renato J Oliveira ◽  
Viviane A O Silva ◽  
Rene A D C Vieira ◽  
Rui M Reis ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Proliferation ◽  
Cell Line ◽  
Cell Lines ◽  
Breast Cancer Cell ◽  
Cancer Progression ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Breast Cancer Cell Lines ◽  
Mcf 7

Abstract Introduction: Breast cancer is the most frequently diagnosed malignancy among women. However, the role of microRNA expression in breast cancer progression is not fully understood. In this study we examined predictive interactions between differentially expressed miRNAs and mRNAs in breast cancer cell lines representative of the common molecular subtypes. Integrative bioinformatics analysis identified miR-193 and miR-210 as potential regulatory biomarkers of mRNA in breast cancer. Several recent studies have investigated these miRNAs in a broad range of tumors, but the mechanism of their involvement in cancer progression has not previously been investigated. Methods: The miRNA-mRNA interactions in breast cancer cell lines were identified by parallel expression analysis and miRNA target prediction programs. The expression profiles of mRNA and miRNAs from luminal (MCF-7, MCF-7/AZ and T47D), HER2 (BT20 and SK-BR3) and triple negative subtypes (Hs578T e MDA-MB-231) could be clearly separated by unsupervised analysis using HB4A cell line as a control. Breast cancer miRNA data from TCGA patients were grouped according to molecular subtypes and then used to validate these findings. Expression of miR-193 and miR-210 was investigated by miRNA transient silencing assays using the MCF7, BT20 and MDA-MB-231 cell lines. Functional studies included, xCELLigence system, ApoTox-Glo triplex, flow cytometry and transwell assays were performed to determine cell proliferation, cytotoxicity, apoptosis, migration and invasion, respectively. Results: The most evident effects were associated with cell proliferation after miR-210 silencing in triple negative subtype cell line MDA-MB-231. Using in silico prediction algorithms, TNFRSF10 was identified as one of the potential downstream targets for both miRNAs. The TNFRSF10C and TNFRSF10D mRNA expression inversely correlated with the expression levels of miR-193 and miR210 in breast cell lines and breast cancer patients, respectively. Other potential regulated genes whose expression also inversely correlated with both miRNAs were CCND1, a mediator on invasion and metastasis, and the tumor suppressor gene RUNX3. Conclusion: In summary, our findings identify miR-193 and miR-210 as potential regulatory miRNA in different molecular subtypes of breast cancer and suggest that miR-210 may have specific role in MDA-MB-231 proliferation. Our results highlight important new downstream regulated targets that may serve as promising therapeutic pathways for aggressive breast cancers.

scholarly journals Synthesis and Antitumour activity of some aryl semicarbazones

2000 ◽  
Vol 68 (4) ◽  
pp. 369-377 ◽  
Author(s):  
S.N. Pandeya ◽  
P. Yogeeswari ◽  
E.A. Sausville ◽  
A.B. Mauger ◽  
V.L. Narayanan
Keyword(s):  
Breast Cancer ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Tumour Cell ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Significant Activity

Various 4-substituted phenyl semicarbazone derivatives were synthesized and evaluated in vitro by NCI in the 3-cell line, one dose primary anticancer assay. Three compounds showed significant activity against breast MCF7 cell line and were further evaluated for potential anticancer activity in an in vitro human disease-oriented tumour cell line screening panel that consisted of 60 human tumour cell lines arranged in nine subpanels, representing diverse histologies. Leukemia, colon, ovarian and breast cancer cell lines were relatively more sensitive to these compounds than the other cell lines. The 4-carboxy substituted p-nitrobenzylidene phenyl semicarbazone (1c) emerged as the most active compound with average GI50 value (the molar drug concentration required for the 50% growth inhibition) of 28.6µM. This compound showed greater activity than methotrexate against NCI-H226(Lung), BT-549 and T-47D(Breast) cancer cell lines.

scholarly journals Deciphering the Correlation between Breast Tumor Samples and Cell Lines by Integrating Copy Number Changes and Gene Expression Profiles

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yi Sun ◽  
Qi Liu
Keyword(s):  
Breast Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Breast Tumors ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Tumor Group

Breast cancer is one of the most common cancers with high incident rate and high mortality rate worldwide. Although different breast cancer cell lines were widely used in laboratory investigations, accumulated evidences have indicated that genomic differences exist between cancer cell lines and tissue samples in the past decades. The abundant molecular profiles of cancer cell lines and tumor samples deposited in the Cancer Cell Line Encyclopedia and The Cancer Genome Atlas now allow a systematical comparison of the breast cancer cell lines with breast tumors. We depicted the genomic characteristics of breast primary tumors based on the copy number variation and gene expression profiles and the breast cancer cell lines were compared to different subgroups of breast tumors. We identified that some of the breast cancer cell lines show high correlation with the tumor group that agrees with previous knowledge, while a big part of them do not, including the most used MCF7, MDA-MB-231, and T-47D. We presented a computational framework to identify cell lines that mostly resemble a certain tumor group for the breast tumor study. Our investigation presents a useful guide to bridge the gap between cell lines and tumors and helps to select the most suitable cell line models for personalized cancer studies.

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